Instructions to use adity12345/roberta-classifier_batch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adity12345/roberta-classifier_batch32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adity12345/roberta-classifier_batch32")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adity12345/roberta-classifier_batch32") model = AutoModelForSequenceClassification.from_pretrained("adity12345/roberta-classifier_batch32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from adity12345/roberta-classifier_batch32: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/adity12345/roberta-classifier_batch32/resolve/main/vocab.json
- Command line
-
hf download hf://adity12345/roberta-classifier_batch32/vocab.json
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curl -L -o vocab.json https://huggingface.co/adity12345/roberta-classifier_batch32/resolve/main/vocab.json
798 kB
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